Triple
T30036151
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kalkaska sand |
E763162
|
entity |
| Predicate | meanAnnualTemperatureRange |
P168381
|
FINISHED |
| Object | about 40 to 45 degrees Fahrenheit |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: about 40 to 45 degrees Fahrenheit | Statement: [Kalkaska sand, meanAnnualTemperatureRange, about 40 to 45 degrees Fahrenheit]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: meanAnnualTemperatureRange Context triple: [Kalkaska sand, meanAnnualTemperatureRange, about 40 to 45 degrees Fahrenheit]
-
A.
averageJanuaryTemperatureRange
Indicates the range of typical average temperatures observed during the month of January for a given entity.
-
B.
temperatureRangeDifference
Indicates the difference between two temperature ranges, typically measuring how much one range is higher or lower than another.
-
C.
averageAnnualHighTemperature
Indicates the typical yearly mean of the highest daily temperatures recorded for a given location or entity.
-
D.
averageAnnualLowTemperature
Indicates the typical lowest temperature value recorded per year for a given place or period, averaged over multiple years.
-
E.
averageTemperature
Indicates the typical or mean temperature value associated with an entity over a specified period or context.
- F. None of above. chosen
Provenance (4 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69f2246fb2b88190acff36bf7975c8f0 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f679d44f2081908ffa58a7709907ba |
completed | May 2, 2026, 10:25 p.m. |
| PD | Predicate disambiguation | batch_69f673c664f08190b4d66cdc305e10db |
completed | May 2, 2026, 9:59 p.m. |
| PDg | Predicate description generation | batch_69f6749f205c81909d1aacf462912eee |
completed | May 2, 2026, 10:03 p.m. |
Created at: April 29, 2026, 6:51 p.m.